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Articles 1 - 11 of 11
Full-Text Articles in Social and Behavioral Sciences
An Aggregation Matrix Matlab Function, Caleb Stair
An Aggregation Matrix Matlab Function, Caleb Stair
Regional Research Institute Technical Documents
This Technical Document describes the foundations for an aggregation matrix function implemented in MATLAB, including the format and structure of the required aggregation vector used as an argument to the function. The function is passed with the Ndimensional aggregation vector as an argument. The aggregation vector contains N values ranging from 1 to M, each of which is the aggregate index corresponding to the N preaggregation indices. The function returns an aggregation matrix with M rows and N columns. Pre-multiplying an existing matrix with N rows by the aggregation matrix reduces the row dimensionality from N to M by adding …
Integrating Input-Output And Life Cycle Assessment: Mathematical Foundations, Randall Jackson
Integrating Input-Output And Life Cycle Assessment: Mathematical Foundations, Randall Jackson
Regional Research Institute Resource Documents
Input-output (IO) and Life Cycle Assessment (LCA) modeling share a strikingly similar mathematical foundation and formulation, yet melding the two frameworks is not completely straightforward. In particular, the boundaries of the two systems must be brought into alignment carefully, so as to avoid double counting. In this document, the two frameworks and their mathematical foundations are presented in brief, and the salient issues that enter into procedures integrating the two are highlighted.
On The Finite Sample Properties Of Pre-Test Estimators Of Spatial Models, Gianfranco Piras, Ingmar R. Prucha
On The Finite Sample Properties Of Pre-Test Estimators Of Spatial Models, Gianfranco Piras, Ingmar R. Prucha
Regional Research Institute Working Papers
This paper explores the properties of pre-test strategies in estimating a linear Cliff-Ord -type spatial model when the researcher is unsure about the nature of the spatial dependence. More specifically, the paper explores the finite sample properties of the pre-test estimators introduced in Florax et al. (2003), which are based on Lagrange Multiplier (LM) tests, within the context of a Monte Carlo study. The performance of those estimators is compared with that of the maximum likelihood (ML) estimator of the encompassing model. We find that, even in a very simple setting, the bias of the estimates generated by pre-testing …
The State Of Play In Poland”S Unconventional Shale And Oil Development, J Wesley Burnett, Randall Jackson, Robert Blobaum
The State Of Play In Poland”S Unconventional Shale And Oil Development, J Wesley Burnett, Randall Jackson, Robert Blobaum
Regional Research Institute Working Papers
Following the huge gas and oil rush in the US, the world”s gas and oil companies have been eyeing reserves in other countries including Poland, which is believed to be sitting on one of the largest reserves in the European Union. The Poles, seeking to diversify their energy sources and meet EU emissions standards, which are driving up electricity costs, met the news with tremendous fanfare. Following initial geological assessments, major international oil and gas companies soon made announcements to begin drilling operations in Poland. However, one of the major challenges of shale gas development is that is often requires …
Composite Input-Output Production Functions, Randall Jackson
Composite Input-Output Production Functions, Randall Jackson
Regional Research Institute Technical Documents
This document describes the algorithm used for creating an aggregated linear production function for an industry by weighting subsector production functions. The result can be used as a column in an interindustry (I ×I) coefficients table or in a standard Use table (C × I) depending on the units (C or I) of the input data.
Integrated Modeling Frameworks, Randall Jackson
Integrated Modeling Frameworks, Randall Jackson
Regional Research Institute Resource Documents
This document is intended to clarify the foundations of the IO and CGE analytical frameworks and procedures that underlie the NSF and USDA/NIFA funded research projects. It covers environmental data, life cycle assessment (LCA), input-output models (IO), structural decomposition analysis (SDA), social accounting matrix models (SAMs), and computable general equilibrium modeling (CGE).
A J-Test For Panel Models With Fixed Effects, Spatial And Time, Harry H. Kelejian, Gianfranco Piras
A J-Test For Panel Models With Fixed Effects, Spatial And Time, Harry H. Kelejian, Gianfranco Piras
Regional Research Institute Working Papers
In this paper we suggest a J-test in a spatial panel framework of a null model against one or more alternatives. The null model we consider has fixed effects, along with spatial and time dependence. The alternatives can have either fixed or random effects. We implement our procedure to test the specifications of a demand for cigarette model. We find that the most appropriate specification is one that contains the average price of cigarettes in neighboring states, as well as the spatial lag of the dependent variable. Along with formal large sample results, we also give small sample Monte …
Impact Estimates For Static Spatial Panel Data Models In R, Gianfranco Piras
Impact Estimates For Static Spatial Panel Data Models In R, Gianfranco Piras
Regional Research Institute Working Papers
In the present note we demonstrate how to implement the Lee and Yu (2010) procedure for fixed effects spatial panel data models available from the R (R Development Core Team 2012) package splm (Millo and Piras 2012). Additionally, we also show how to compute the impact estimates introduced by Kelejian, Tavlas, and Hondroyiannis (2006) and formalized in LeSage and Pace (2009). Unlike Matlab (MATLAB 2011), there was no R function specific to static panel data models for the calculation of the impact measures. After receiving numerous requests from the users of splm, we decided to extend the cross sectional functions …
Integrated Modeling Frameworks: A Guide For Research Projects, Randall Jackson
Integrated Modeling Frameworks: A Guide For Research Projects, Randall Jackson
Regional Research Institute Technical Documents
This document is intended to clarify the foundations of the IO and CGE analytical frameworks and procedures that underlie the NSF and USDA/NIFA funded research projects. It covers environmental data, life cycle assessment (LCA), input-output models (IO), structural decomposition analysis (SDA), social accounting matrix models (SAMs), and computable general equilibrium modeling (CGE).
Comparing Implementations Of Estimation Methods For Spatial Econometrics, Roger Bivand, Gianfranco Piras
Comparing Implementations Of Estimation Methods For Spatial Econometrics, Roger Bivand, Gianfranco Piras
Regional Research Institute Working Papers
Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for estimating impacts (emanating effects), which are also presented and compared. This review constitutes an up to date comparison of generalized method of moments (GMM) and maximum likelihood (ML) implementations now available. The comparison uses the cross sectional US county data set provided by Drukker, Prucha, and Raciborski (2011c, pp. 6-7). The comparisons will be cast in the context of alternatives using …
Can Spatial Dependence Enhance Industry Sustainability? The Case Of Pasture-Based Beef, Inocencio Rodriguez, Gerard D'Souza, Thomas Griggs
Can Spatial Dependence Enhance Industry Sustainability? The Case Of Pasture-Based Beef, Inocencio Rodriguez, Gerard D'Souza, Thomas Griggs
Regional Research Institute Working Papers
Can sustainability be enhanced by maximizing the sum of private and social benefits from an industry? This might take place, for example, by identifying production options that increase profitability side-by-side with societal goals such as renewable energy production and carbon sequestration, healthier communities, environmental quality, and economic development. We explore this issue for pasture based beef (PBB), a nascent industry where industry profitability, community development, and quality of life can be enhanced by explicitly linking the PBB supply chain spatially and intertemporally, thereby increasing the sum of private and social benefits. We develop a framework based on optimal control theory …